Eogogics

Day 1

• Basic Probability and Statistics
• Deterministic versus probabilistic thinking
• The normal curve: Its history and mathematics
• The nature of variability
• Means and standard deviations
• Using normal curves, means, and standard deviations to predict probabilities of occurrence
• Confidence levels
• Minimizing Variability
• Product and process design
• Identifying sources of variability
• Identifying potential key performance parameters
• The concept of a capable process
• Approaches for minimizing variability
• Basic Statistics Test Approaches
• The z-test
• The t-test
• Analysis of variance (ANOVA)
• Fractional factorial experiments and Taguchi testing
• Case studies
  
  

Day 2

• Detection versus Prevention Process and Design Approaches
• Detection-oriented systems
• Prevention-oriented systems
• Collecting and using nonconformance data
• Test and Inspection
• The nature of inspection
• Sampling plans
• Inspection shortfalls
• The fallacy of redundant inspection
• Statistical process control
• Statistical process control implementation
• Development, qualification, and acceptance testing
• Probabilities of passing receiving, in-process, and final acceptance testing
• Operating characteristic curves
• Applications
• Product nonconformance considerations
• Improving processes with statistical tools
• Using Excel’s built in statistical analysis features
• Case studies
• Course Wrap-up: Recap, Q/A, and Evaluations